Application of Artificial Neural Network in Internal Model Control

摘要

Internal model control is a kind of control structure that uses the inverse of internal model of the plant as controller. It not only has simple construction and few tuning parameters but also is easy to adjust online. Now it has been an effective method to linear and nonlinear systems. The nonlinear character of artificial neural networks and its adaptation and learning lead to the idea of using networks directly in a nonlinear internal model control. It has been testified effective to usual nonlinear systems by the simulation. It is easy to realize in the project and it improves robust performance.